Wavelet Variance Analysis of EEG Based on Window Function
ZHENG Yuan-zhuang
YOU Rong-yi
摘要： A new wavelet variance analysis method based on window function is proposed to investigate the dynamical features of electroencephalogram (EEG).The ex-prienmental results show that the wavelet energy of epileptic EEGs are more discrete than normal EEGs, and the variation of wavelet variance is different between epileptic and normal EEGs with the increase of time-window width. Furthermore, it is found that the wavelet subband entropy (WSE) of the epileptic EEGs are lower than the normal EEGs.
机标关键词：Window Functionwavelet variancewindow functionanalysis method
分类号：R318.08(医用一般科学)
论文发表日期：2014-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 54-59 )
英文信息